"Wishlist" Datasets

Currently access to Green Button data is very restrictive which limits its intended benefits and consumer market penetration.
1. LIMITATION:
- The user has to login to their utility company's website with their account login to access the Green Button data. This limits any automated solution by 3rd party providers which is required for real world applications. Otherwise, in almost all cases, the solution fails since
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Voting

Renewable energy production has been rapidly growing in the US in recent years. Energy consumers have opportunities to learn about renewable energy, but they do not have access to data about the actual renewable energy production or usage. Access to such data may help create awareness of when renewable energy is most available to consumers and when is the peak of energy usage occurs in general. (More details about application
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Voting

The dataset I dream for is a representative sample of residential monthly energy billing data, ideally for both gas and electric, by climate zone for the United States. This dataset would ideally include 3-5 years of monthly data for a subsample of homes in each of the Department of Energy’s 8 defined defined climate zones and the “marine, dry, moist” subdivisions thereof. Ideally, this subsample would include 250,000-500,000
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Voting

Our dream dataset: open data on the actual realized performance of all wind farms in the US, and/or any data it holds on actual measured wind resources at different sites, in any format the DOE chooses.
We believe this data could be captured from Treasury/DOE records on production tax credit reporting, which were required of all US wind farms over the past few years.
With this data, the wind industry in general, and
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Voting

A database of the solar energy generation potential for every roof in the U.S. based upon direct sunshine (not just by region but by building- shaded by trees, shaded by other buildings etc), roof direction/layout.

Voting

Distributed renewable energy generation—particularly solar PV—has grown dramatically in the last few years, but developers continue to be obstructed by soft costs and implementation barriers. The federal government is already working to address this problem through DOE’s Sunshot Initiative—partially by encouraging utilities and local governments to streamline their solar permitting and approval processes—but there is
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Voting

In most parts of the country, heating and cooling drives energy demand. Many companies are looking to explore the relationship between energy and weather and provide homeowners with actionable insights into understanding and controlling their utility spending. One area of focus is developing software applications that correlate energy use patterns measured by smart meters with easily obtained outside temperature observations.
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Voting

Greetings Earthlings -
Edison figured it out over a 100 years ago. Localize supply at demand. You are finally going back to the future. You are building solar panels across your planet. But you have missed a network.
A network of solar radiation sensors. Build this network to understand the expected generation of solar panels. Then open this data. Share this data with developers.
The developers will uncover spectacular
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Voting

My ideal dataset would be a complete dataset containing all of the Department of Energy Datasets. In looking for data for this contest it was difficult to navigate the many different websites and data formats currently used by different branches of the DOE. To be able to fully use the rich data available it would be very helpful to have a single dataset that contained each of the other datasets in a consistent and coordinated
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Voting

Improving the Green Button Initiative:
The Green Button Initiative has made great strides in making electricity consumption more transparent, but consumption of natural gas is a blind spot. As a result, end-use natural gas data should be incorporated into the Green Button program to provide a clearer perspective on energy use. This strategy would leverage and complement existing Green Button data and ultimately provide
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Voting

The average person has a siloed view of energy consumption. There is currently no a way to compare across different types of energy use. This makes it difficult to have a solid understanding of where and how to make an impact. It also leaves a large gap in personal and public understanding of energy consumption. There are some basic questions that we, the general public, cannot answer about energy usage. For example,
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Voting

Smart meter installations and pledges to support Green Button have been a big step in the right direction. Yet, at present, many utility consumers cannot access their data from newly installed meters.
Ultimately, a meter is only "smart" if its data is available to its user.
PROBLEM
Information about smart meter "deployment" is usually narrowly focused on whether advanced ("smart") metering infrastructure (AMI) has
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Voting

I propose that all datasets that are released from any governmental organization should be standardized in such a way such that they are easily relatable to the units of measurement that the US Census uses (preferably, counties, tracts, block-groups and blocks).
At the moment, data provided by the Federal Government is near impossible to relate to small spatial units (for example a block-group contains ~1000s of people).
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